{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"knn.ipynb","provenance":[],"collapsed_sections":[],"toc_visible":true},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"6eEULpafGIVd","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1616929228991,"user_tz":-60,"elapsed":31546,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"2997ada3-75c9-43d3-bea6-6779afe83b9e"},"source":["from google.colab import drive\n","\n","drive.mount('/content/drive', force_remount=True)\n","\n","# enter the foldername in your Drive where you have saved the unzipped\n","# 'cs231n' folder containing the '.py', 'classifiers' and 'datasets'\n","# folders.\n","# e.g. 'cs231n/assignments/assignment1/cs231n/'\n","FOLDERNAME = 'cs231n/assignments/assignment1/cs231n/'\n","\n","assert FOLDERNAME is not None, \"[!] Enter the foldername.\"\n","\n","%cd drive/My\\ Drive\n","%cp -r $FOLDERNAME ../../\n","%cd ../../\n","%cd cs231n/datasets/\n","!bash get_datasets.sh\n","%cd ../../"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Mounted at /content/drive\n","/content/drive/My Drive\n","/content\n","/content/cs231n/datasets\n","--2021-03-28 11:00:19--  http://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n","Resolving www.cs.toronto.edu (www.cs.toronto.edu)... 128.100.3.30\n","Connecting to www.cs.toronto.edu (www.cs.toronto.edu)|128.100.3.30|:80... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 170498071 (163M) [application/x-gzip]\n","Saving to: ‘cifar-10-python.tar.gz’\n","\n","cifar-10-python.tar 100%[===================>] 162.60M  47.1MB/s    in 3.8s    \n","\n","2021-03-28 11:00:22 (43.0 MB/s) - ‘cifar-10-python.tar.gz’ saved [170498071/170498071]\n","\n","cifar-10-batches-py/\n","cifar-10-batches-py/data_batch_4\n","cifar-10-batches-py/readme.html\n","cifar-10-batches-py/test_batch\n","cifar-10-batches-py/data_batch_3\n","cifar-10-batches-py/batches.meta\n","cifar-10-batches-py/data_batch_2\n","cifar-10-batches-py/data_batch_5\n","cifar-10-batches-py/data_batch_1\n","/content\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"tags":["pdf-title"],"id":"HVHmJk29GIVl"},"source":["# k-Nearest Neighbor (kNN) exercise\n","\n","*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n","\n","The kNN classifier consists of two stages:\n","\n","- During training, the classifier takes the training data and simply remembers it\n","- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n","- The value of k is cross-validated\n","\n","In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"id":"H2l03fqlGIVm","executionInfo":{"status":"ok","timestamp":1616929248263,"user_tz":-60,"elapsed":597,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}}},"source":["# Run some setup code for this notebook.\n","\n","import random\n","import numpy as np\n","from cs231n.data_utils import load_CIFAR10\n","import matplotlib.pyplot as plt\n","\n","# This is a bit of magic to make matplotlib figures appear inline in the notebook\n","# rather than in a new window.\n","%matplotlib inline\n","plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n","plt.rcParams['image.interpolation'] = 'nearest'\n","plt.rcParams['image.cmap'] = 'gray'\n","\n","# Some more magic so that the notebook will reload external python modules;\n","# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n","%load_ext autoreload\n","%autoreload 2"],"execution_count":2,"outputs":[]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"LRAH9dpuGIVn","executionInfo":{"status":"ok","timestamp":1616929253539,"user_tz":-60,"elapsed":1943,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"9949e05f-db47-468a-d7da-2ca404c4d6e1"},"source":["# Load the raw CIFAR-10 data.\n","cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n","\n","# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n","try:\n","   del X_train, y_train\n","   del X_test, y_test\n","   print('Clear previously loaded data.')\n","except:\n","   pass\n","\n","X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n","\n","# As a sanity check, we print out the size of the training and test data.\n","print('Training data shape: ', X_train.shape)\n","print('Training labels shape: ', y_train.shape)\n","print('Test data shape: ', X_test.shape)\n","print('Test labels shape: ', y_test.shape)"],"execution_count":3,"outputs":[{"output_type":"stream","text":["Training data shape:  (50000, 32, 32, 3)\n","Training labels shape:  (50000,)\n","Test data shape:  (10000, 32, 32, 3)\n","Test labels shape:  (10000,)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/","height":475},"id":"RQt4ZzkQGIVo","executionInfo":{"status":"ok","timestamp":1616929263795,"user_tz":-60,"elapsed":4046,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"c0e52130-5beb-4c65-f866-6f1a07989d1e"},"source":["# Visualize some examples from the dataset.\n","# We show a few examples of training images from each class.\n","classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n","num_classes = len(classes)\n","samples_per_class = 7\n","for y, cls in enumerate(classes):\n","    idxs = np.flatnonzero(y_train == y)\n","    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n","    for i, idx in enumerate(idxs):\n","        plt_idx = i * num_classes + y + 1\n","        plt.subplot(samples_per_class, num_classes, plt_idx)\n","        plt.imshow(X_train[idx].astype('uint8'))\n","        plt.axis('off')\n","        if i == 0:\n","            plt.title(cls)\n","plt.show()"],"execution_count":4,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 70 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"colab":{"base_uri":"https://localhost:8080/"},"id":"kjoRGEBXGIVo","executionInfo":{"status":"ok","timestamp":1616929268712,"user_tz":-60,"elapsed":682,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"206f44dd-4bca-4ba5-912c-31a148b41d83"},"source":["# Subsample the data for more efficient code execution in this exercise\n","num_training = 5000\n","mask = list(range(num_training))\n","X_train = X_train[mask]\n","y_train = y_train[mask]\n","\n","num_test = 500\n","mask = list(range(num_test))\n","X_test = X_test[mask]\n","y_test = y_test[mask]\n","\n","# Reshape the image data into rows\n","X_train = np.reshape(X_train, (X_train.shape[0], -1))\n","X_test = np.reshape(X_test, (X_test.shape[0], -1))\n","print(X_train.shape, X_test.shape)"],"execution_count":5,"outputs":[{"output_type":"stream","text":["(5000, 3072) (500, 3072)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore"],"id":"yktr4Q2FGIVo","executionInfo":{"status":"ok","timestamp":1616929281593,"user_tz":-60,"elapsed":766,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}}},"source":["from cs231n.classifiers import KNearestNeighbor\n","\n","# Create a kNN classifier instance. \n","# Remember that training a kNN classifier is a noop: \n","# the Classifier simply remembers the data and does no further processing \n","classifier = KNearestNeighbor()\n","classifier.train(X_train, y_train)"],"execution_count":6,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"0R6Gnn8DGIVp"},"source":["We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n","\n","1. First we must compute the distances between all test examples and all train examples. \n","2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n","\n","Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n","\n","**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n","\n","First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"eIOPiOjMGIVp","executionInfo":{"status":"ok","timestamp":1616929384039,"user_tz":-60,"elapsed":40051,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"ebd061fa-7ad4-4045-972c-600cddbdae4c"},"source":["# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n","# compute_distances_two_loops.\n","\n","# Test your implementation:\n","dists = classifier.compute_distances_two_loops(X_test)\n","print(dists.shape)"],"execution_count":7,"outputs":[{"output_type":"stream","text":["(500, 5000)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":107},"id":"DExUA9bBGIVp","executionInfo":{"status":"ok","timestamp":1616929388789,"user_tz":-60,"elapsed":1291,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"31d6267e-3473-4384-ba6b-7adcb7a72674"},"source":["# We can visualize the distance matrix: each row is a single test example and\n","# its distances to training examples\n","plt.imshow(dists, interpolation='none')\n","plt.show()"],"execution_count":8,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 720x576 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"tags":["pdf-inline"],"id":"4aJQok-gGIVq"},"source":["**Inline Question 1** \n","\n","Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n","\n","- What in the data is the cause behind the distinctly bright rows?\n","- What causes the columns?\n","\n","$\\color{blue}{\\textit Your Answer:}$ The distinctly bright rows are caused by the data structure itself. Since we are dealing with images (hence, pixel matrices), some of the test ones maybe be “ambiguous”, that is, they contain elements which make them close to all dataset classes (based on the used distance formula). The same thing applies to bright columns.\n","\n"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4aGbgg3HGIVq","executionInfo":{"status":"ok","timestamp":1616929400518,"user_tz":-60,"elapsed":951,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"709ee626-7b52-4d51-faac-51ac7c91cff4"},"source":["# Now implement the function predict_labels and run the code below:\n","# We use k = 1 (which is Nearest Neighbor).\n","y_test_pred = classifier.predict_labels(dists, k=1)\n","\n","# Compute and print the fraction of correctly predicted examples\n","num_correct = np.sum(y_test_pred == y_test)\n","accuracy = float(num_correct) / num_test\n","print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"],"execution_count":9,"outputs":[{"output_type":"stream","text":["Got 137 / 500 correct => accuracy: 0.274000\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"WJATqLc1GIVr"},"source":["You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HXcPmSycGIVs","executionInfo":{"status":"ok","timestamp":1616929405651,"user_tz":-60,"elapsed":659,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"dfbd45cc-c013-472e-ad7b-da7db3f25df3"},"source":["y_test_pred = classifier.predict_labels(dists, k=5)\n","num_correct = np.sum(y_test_pred == y_test)\n","accuracy = float(num_correct) / num_test\n","print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"],"execution_count":10,"outputs":[{"output_type":"stream","text":["Got 139 / 500 correct => accuracy: 0.278000\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"EmT6WECnGIVs"},"source":["You should expect to see a slightly better performance than with `k = 1`."]},{"cell_type":"markdown","metadata":{"tags":["pdf-inline"],"id":"aJpXxzr0GIVt"},"source":["**Inline Question 2**\n","\n","We can also use other distance metrics such as L1 distance.\n","For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n","\n","the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n","And the pixel-wise mean $\\mu_{ij}$ across all images is \n","$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n","The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n","\n","Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n","1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n","2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n","3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n","4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n","5. Rotating the coordinate axes of the data.\n","\n","$\\color{blue}{\\textit Your Answer:}$ I suppose that these preprocessing techniques concern all dataset images (and not, only some of them).\n","\n","Preprocessing that will not change the performance of the kNN classifier that uses L1 distance are: 1, 2, and 5.\n","\n","$\\color{blue}{\\textit Your Explanation:}$\n","\n","- Since preprocessing are applied to all images, subtracting either “the mean” (statement 1) or “the per pixel mean” (statement 2) won’t affect the L1 distance equation. This is due to the fact that the same value is substituted for each pixel in the same position in both images (for those who the L1 distance in computed).\n","\n","- Dividing pixel values by the standard deviation, after subtracting “the mean” (statement 3) or “the per pixel mean” (statement 4), will most probably have an effect on the L1 distance values, and hence, on kNN performance. This is due to fact that pixels will be divided by different values (since the standard deviation is different from one image to another).\n","\n","- Rotating the coordinate axes of the data (statement 5) also won’t change the L1 distance, since the latter computes the difference between pixel values in the same position. So, pixel position is preserved by rotating all images in the same direction.\n"]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"colab":{"base_uri":"https://localhost:8080/"},"id":"PoJJbPTVGIVt","executionInfo":{"status":"ok","timestamp":1616929446199,"user_tz":-60,"elapsed":34562,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"605ed5bd-0ec2-4300-b271-6b505f3d666f"},"source":["# Now lets speed up distance matrix computation by using partial vectorization\n","# with one loop. Implement the function compute_distances_one_loop and run the\n","# code below:\n","dists_one = classifier.compute_distances_one_loop(X_test)\n","\n","# To ensure that our vectorized implementation is correct, we make sure that it\n","# agrees with the naive implementation. There are many ways to decide whether\n","# two matrices are similar; one of the simplest is the Frobenius norm. In case\n","# you haven't seen it before, the Frobenius norm of two matrices is the square\n","# root of the squared sum of differences of all elements; in other words, reshape\n","# the matrices into vectors and compute the Euclidean distance between them.\n","difference = np.linalg.norm(dists - dists_one, ord='fro')\n","print('One loop difference was: %f' % (difference, ))\n","if difference < 0.001:\n","    print('Good! The distance matrices are the same')\n","else:\n","    print('Uh-oh! The distance matrices are different')"],"execution_count":11,"outputs":[{"output_type":"stream","text":["One loop difference was: 0.000000\n","Good! The distance matrices are the same\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"scrolled":true,"tags":["pdf-ignore-input"],"id":"Kj-8mMu0GIVu","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1616929464968,"user_tz":-60,"elapsed":1927,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"49002e88-884b-48db-df8d-214c6a287f26"},"source":["# Now implement the fully vectorized version inside compute_distances_no_loops\n","# and run the code\n","dists_two = classifier.compute_distances_no_loops(X_test)\n","\n","# check that the distance matrix agrees with the one we computed before:\n","difference = np.linalg.norm(dists - dists_two, ord='fro')\n","print('No loop difference was: %f' % (difference, ))\n","if difference < 0.001:\n","    print('Good! The distance matrices are the same')\n","else:\n","    print('Uh-oh! The distance matrices are different')"],"execution_count":12,"outputs":[{"output_type":"stream","text":["No loop difference was: 0.000000\n","Good! The distance matrices are the same\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"no_loop","tags":["pdf-ignore-input"],"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1616929542602,"user_tz":-60,"elapsed":73707,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"bcb6fb7e-04c2-4ca9-938d-6cae05106c54"},"source":["# Let's compare how fast the implementations are\n","def time_function(f, *args):\n","    \"\"\"\n","    Call a function f with args and return the time (in seconds) that it took to execute.\n","    \"\"\"\n","    import time\n","    tic = time.time()\n","    f(*args)\n","    toc = time.time()\n","    return toc - tic\n","\n","two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n","print('Two loop version took %f seconds' % two_loop_time)\n","\n","one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n","print('One loop version took %f seconds' % one_loop_time)\n","\n","no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n","print('No loop version took %f seconds' % no_loop_time)\n","\n","# You should see significantly faster performance with the fully vectorized implementation!\n","\n","# NOTE: depending on what machine you're using, \n","# you might not see a speedup when you go from two loops to one loop, \n","# and might even see a slow-down."],"execution_count":13,"outputs":[{"output_type":"stream","text":["Two loop version took 38.968158 seconds\n","One loop version took 33.640804 seconds\n","No loop version took 0.511983 seconds\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"rPSLs_NfGIVv"},"source":["### Cross-validation\n","\n","We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."]},{"cell_type":"code","metadata":{"tags":["code"],"id":"AakEU3ShGIVv","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611248968978,"user_tz":-60,"elapsed":59080,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"391e4953-529f-453c-8361-dcc3a2d0ef69"},"source":["num_folds = 5\n","k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n","\n","X_train_folds = []\n","y_train_folds = []\n","################################################################################\n","# TODO:                                                                        #\n","# Split up the training data into folds. After splitting, X_train_folds and    #\n","# y_train_folds should each be lists of length num_folds, where                #\n","# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n","# Hint: Look up the numpy array_split function.                                #\n","################################################################################\n","# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","\n","X_train_folds = np.array_split(X_train, num_folds)\n","y_train_folds = np.array_split(y_train, num_folds)\n","\n","# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","\n","# A dictionary holding the accuracies for different values of k that we find\n","# when running cross-validation. After running cross-validation,\n","# k_to_accuracies[k] should be a list of length num_folds giving the different\n","# accuracy values that we found when using that value of k.\n","k_to_accuracies = {}\n","\n","\n","################################################################################\n","# TODO:                                                                        #\n","# Perform k-fold cross validation to find the best value of k. For each        #\n","# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n","# where in each case you use all but one of the folds as training data and the #\n","# last fold as a validation set. Store the accuracies for all fold and all     #\n","# values of k in the k_to_accuracies dictionary.                               #\n","################################################################################\n","# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","\n","for k in k_choices:\n","  k_to_accuracies[k] = []\n","\n","  # Test-fold index changes over iterations\n","  for test_idx in range(num_folds): \n","    X_test_cross = X_train_folds[test_idx]\n","    y_test_cross = y_train_folds[test_idx]\n","\n","    # Merge all 'X' train folds into one part which didn't contain the current\n","    # test fold.\n","    X_train_cross = [x for i, x in enumerate(X_train_folds) if i != test_idx]\n","    X_train_cross = np.concatenate(X_train_cross)\n","\n","    # Merge all 'y' train folds into one part which didn't contain the current\n","    # test fold.\n","    y_train_cross = [x for i, x in enumerate(y_train_folds) if i != test_idx]\n","    y_train_cross = np.concatenate(y_train_cross)\n","\n","    classifier.train(X_train_cross, y_train_cross)\n","\n","    dists = classifier.compute_distances_no_loops(X_test_cross)\n","\n","    y_test_pred = classifier.predict_labels(dists, k)\n","    num_correct = np.sum(y_test_pred == y_test_cross)\n","    accuracy = float(num_correct) / num_test\n","\n","    k_to_accuracies[k].append(accuracy)\n","\n","# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n","\n","# Print out the computed accuracies\n","for k in sorted(k_to_accuracies):\n","    for accuracy in k_to_accuracies[k]:\n","        print('k = %d, accuracy = %f' % (k, accuracy))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["k = 1, accuracy = 0.526000\n","k = 1, accuracy = 0.514000\n","k = 1, accuracy = 0.528000\n","k = 1, accuracy = 0.556000\n","k = 1, accuracy = 0.532000\n","k = 3, accuracy = 0.478000\n","k = 3, accuracy = 0.498000\n","k = 3, accuracy = 0.480000\n","k = 3, accuracy = 0.532000\n","k = 3, accuracy = 0.508000\n","k = 5, accuracy = 0.496000\n","k = 5, accuracy = 0.532000\n","k = 5, accuracy = 0.560000\n","k = 5, accuracy = 0.584000\n","k = 5, accuracy = 0.560000\n","k = 8, accuracy = 0.524000\n","k = 8, accuracy = 0.564000\n","k = 8, accuracy = 0.546000\n","k = 8, accuracy = 0.580000\n","k = 8, accuracy = 0.546000\n","k = 10, accuracy = 0.530000\n","k = 10, accuracy = 0.592000\n","k = 10, accuracy = 0.552000\n","k = 10, accuracy = 0.568000\n","k = 10, accuracy = 0.560000\n","k = 12, accuracy = 0.520000\n","k = 12, accuracy = 0.590000\n","k = 12, accuracy = 0.558000\n","k = 12, accuracy = 0.566000\n","k = 12, accuracy = 0.560000\n","k = 15, accuracy = 0.504000\n","k = 15, accuracy = 0.578000\n","k = 15, accuracy = 0.556000\n","k = 15, accuracy = 0.564000\n","k = 15, accuracy = 0.548000\n","k = 20, accuracy = 0.540000\n","k = 20, accuracy = 0.558000\n","k = 20, accuracy = 0.558000\n","k = 20, accuracy = 0.564000\n","k = 20, accuracy = 0.570000\n","k = 50, accuracy = 0.542000\n","k = 50, accuracy = 0.576000\n","k = 50, accuracy = 0.556000\n","k = 50, accuracy = 0.538000\n","k = 50, accuracy = 0.532000\n","k = 100, accuracy = 0.512000\n","k = 100, accuracy = 0.540000\n","k = 100, accuracy = 0.526000\n","k = 100, accuracy = 0.512000\n","k = 100, accuracy = 0.526000\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"__b92dd-hxTq","executionInfo":{"status":"ok","timestamp":1611249064405,"user_tz":-60,"elapsed":1303,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"d96f5620-d883-42d8-d126-3fdf84ae28f9"},"source":["# Cell added by me, to choose the best K value.\n","best_k = k_choices[0]\n","best_accuracy = 0\n","\n","for k in sorted(k_to_accuracies):\n","    sum_cross = 0\n","    for accuracy in k_to_accuracies[k]:\n","        sum_cross += accuracy\n","\n","    average_accuracy = sum_cross / num_folds\n","\n","    if average_accuracy > best_accuracy:\n","      best_k = k\n","      best_accuracy = average_accuracy\n","\n","print('Best value for k is %d (accuracy = %f)' % (best_k, best_accuracy))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Best value for k is 10 (accuracy = 0.560400)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"tags":["pdf-ignore-input"],"id":"RLzB9z9yGIVw","colab":{"base_uri":"https://localhost:8080/","height":513},"executionInfo":{"status":"ok","timestamp":1611249069925,"user_tz":-60,"elapsed":1553,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"103b166d-9d0b-40b9-d975-2421d384fe8c"},"source":["# plot the raw observations\n","for k in k_choices:\n","    accuracies = k_to_accuracies[k]\n","    plt.scatter([k] * len(accuracies), accuracies)\n","\n","# plot the trend line with error bars that correspond to standard deviation\n","accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n","accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n","plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n","plt.title('Cross-validation on k')\n","plt.xlabel('k')\n","plt.ylabel('Cross-validation accuracy')\n","plt.show()"],"execution_count":null,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAmcAAAHwCAYAAADjOch3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeXjU5b3+8fcne8hKFkiGRUhYRCABRRGRumDFhYT2eKrWWmtPrZ7TxaWlrda6drG/6mlrj120rbZWq1SLkiCKluJSiwoICfsqWxb2JCzZ5/n9MZMYMMAEMplJcr+uK5eZZ77znc8IhJtnNeccIiIiIhIeIkJdgIiIiIh8TOFMREREJIwonImIiIiEEYUzERERkTCicCYiIiISRhTORERERMKIwpmI9DpmNsTMnJlF+R+/amZfCuTak3iv75vZH06l3mAzsz+Z2Y9CXYeI+CiciUjAzOw6M1tiZgfNrMIfas4PdV2nyjl3uXPuz6d6HzO70Mx2HHXvnzjnbjrVe4tI76FwJiIBMbNvAb8EfgL0BwYDvwFmHOP6k+ppEhHp7RTOROSEzCwFeBD4unNutnPukHOu0TlX7Jz7jv+a+83sRTN7xsxqgBvNzGNmRWa2z8w2mtlX29zzHH8vXI2Z7TSzn/vb4/z32GtmVWa22Mz6t1PTNWa25Ki2O8ysyP/9lWa2zH//7WZ2/3E+35tmdpP/+0gze8TM9pjZZuDKo679spmtMbMDZrbZzG7xtycArwIef8/iQf/nv9/Mnmnz+kIzW+X/bG+a2ag2z20xs5lmVmpm1WY2y8zijlFzhJn9wMy2mtkuM3va/+vUdij2S2a2zf9Z7j7W5z/qvklmttDMfmVmFshrRKRzKZyJSCAmAXHASye4bgbwIpAKPAs8D+wAPMB/Aj8xs4v91z4KPOqcSwZygb/5278EpACDgHTgv4Hadt6rGBhpZsPbtF0H/NX//SHgBn8tVwL/Y2afCeCzfhWYDowHJvjrbmuX//lk4MvAL8zsTOfcIeByoNw5l+j/Km/7QjMbATwH3A5kAvOAYjOLaXPZ1cBlwFAgD7jxGHXe6P+6CMgBEoHHjrrmfGAkMBW4t20QbI+ZpQMLgHedc7c6ne8nEhIKZyISiHRgj3Ou6QTXLXLOveyc8wIZwGTge865OufccuAP+AITQCMwzMwynHMHnXPvtWlPB4Y555qdc0udczVHv5Fz7jAwB/g8gD+knQ4U+Z9/0zm3wjnndc6V4gtFFwTwWa8Gfumc2+6c2wc8dNT7vuKc2+R83gJeB6YEcF+Aa4BXnHNvOOcagUeAeOC8Ntf8yjlX7n/vYmDcMe71BeDnzrnNzrmDwF3AtUcNJz/gnKt1zpUAJUD+cWrzAG8BLzjnfhDg5xGRIFA4E5FA7AUyAphHtr3N9x5gn3PuQJu2rcAA//dfAUYAa/1Dl9P97X8B5gPPm1m5mf3MzKLNbEqb4cJV/mv/ij+c4es1e9kf2jCzif7hud1mVo2vBy4jgM/qOepzbG37pJldbmbv+Ydqq4ArArxvy71b7+cPsdv5+P8JQGWb7w/j6xE74b3830fhmw/Y0XuBr3cxHvjdca4RkS6gcCYigVgE1AMnGhZsOwxWDqSZWVKbtsFAGYBzboNz7vNAP+D/AS+aWYJ/LtsDzrkz8PUoTQducM6902a4cLT/fm8AmWY2Dl9I+2ub9/orvl60Qc65FHyhI5A5VBX4hlTb1gyAmcUCf8fX49XfOZeKb2iy5b4nGgYsB05rcz/zv1dZAHUd917+OpuAnSdxL4DfA68B8/zz50QkRBTOROSEnHPVwL3Ar83sM2bWx9+bdbmZ/ewYr9kO/Bt4yD/JPw9fb9kzAGZ2vZll+nuPqvwv85rZRWY21swigRp8w5zeY7xHI/AC8DCQhi+stUjC13NXZ2bn4OtZC8TfgFvNbKCZ9QXubPNcDBAL7AaazOxy4NI2z+8E0lsm5h/j3lea2VQziwa+jS/0/jvA2tp6DrjDzIaaWSK+VbSzAhh6Pp5vAOvwzYOLP4X7iMgpUDgTkYA45/4X+BbwA3zhZDu+v8xfPs7LPg8MwdfL8xJwn3PuH/7nLgNWmdlBfIsDrnXO1QJZ+BYV1ABr8M2D+stx3uOvwCX45kq1DSZfAx40swP4guXf2ntxO36Pb1i1BPgQmN3yhH+I9lb/vfbjC3xFbZ5fiy80bfavxvS0vbFzbh1wPfB/wB6gAChwzjUEWFtbT+L7//I28BFQB3zzJO7Ttj4H3IxvEcecY60UFZHgMi3GEREREQkf6jkTERERCSMKZyIiIiJhROFMREREJIwonImIiIiEEYUzERERkTByot2+u42MjAw3ZMiQUJchIiIickJLly7d45zLbO+5HhPOhgwZwpIlS0JdhoiIiMgJmdnWYz2nYU0RERGRMKJwJiIiIhJGFM5EREREwojCmYiIiEgYUTgTERERCSMKZyIiIiJhROFMREREJIwonImIiIiEEYUzERERkTCicCYiIiISRhTORERERMKIwpmIiIhIGFE4ExEREQkjCmciIiIiYUThTERERCSMRIW6AAmu9e9XsmjOJg7uqycxLZZJM3IZMTEr1GWJiIjIMSic9WDr369k4bNraWrwAnBwXz0Ln10LoIAmIiISpjSs2YMtmrOpNZi1aGrwsmjOphBVJCIiIieicNaDHdxX36F2ERERCT2Fsx4sMS22Q+0iIiISegpnPdikGblExRz5SxwVE8GkGbkhqkhERERORAsCerCWSf9arSkiItJ9KJz1cCMmZgUUxta8s5B3nn+aA3v3kJSewZRrb2DUlIu6oEIRERFpS+FMWPPOQl5/4jGaGnwLBQ7s2c3rTzwGoIAmIiLSxTTnTHjn+adbg1mLpoZ63nn+6RBVJCIi0nspnAkH9u7pULuIiIgEj8KZkJSe0aF2ERERCR6FM2HKtTcQFXPk3mdRMbFMufaGEFUkIiLSe2lBgLRO+tdqTRERkdBTOBPAF9AUxkREREJPw5oiIiIiYUThTERERCSMKJyJiIiIhBGFMxEREZEwonAmIiIiEkYUzkRERETCiMKZiIiISBhROBMREREJIwpnIiIiImFE4UxEREQkjCiciYiIiIQRhTMRERGRMKJwFiKvbH6FS1+8lLw/53Hpi5fyyuZXQl2SiIiIhIGoUBfQG72y+RXu//f91DXXAVBxqIL7/30/AFfmXBnCykRERCTU1HMWAo9++GhrMGtR11zHox8+GqKKREREJFwonIVA5aHKDrWLiIhI76FwFgJZCVkdahcREZHeQ+EsBG478zbiIuOOaIuLjOO2M28LUUUiIiISLrQgIARaJv0/+uGjVB6qJCshi9vOvE2LAUREREThLFSuzLlSYUxEREQ+QcOaIiIiImFE4UxEREQkjCiciYiIiIQRhTMRERGRMKJwJiIiIhJGFM6k1TWPL+KaxxeFugwREZFeLajhzMwuM7N1ZrbRzO5s5/kbzWy3mS33f93U5rmfmdkqM1tjZr8yMwtmrd1NdXExGy6eyppRZ7Dh4qlUFxeHuiQRERHpBEHb58zMIoFfA58GdgCLzazIObf6qEtnOee+cdRrzwMmA3n+pn8BFwBvBqve7qS6uJiKe+7F1fkOT28qL6finnsBSCko+MT1Lb1hs26Z1HVFioiIyEkJZs/ZOcBG59xm51wD8DwwI8DXOiAOiAFigWhgZ1Cq7IZ2/eKXrcGshaurY9cvfhmiikRERKSzBDOcDQC2t3m8w992tKvMrNTMXjSzQQDOuUXAQqDC/zXfObfm6Bea2c1mtsTMluzevbvzP0GYaqqo6FC7iIiIdB+hXhBQDAxxzuUBbwB/BjCzYcAoYCC+QHexmU05+sXOuSeccxOccxMyMzO7sOzQisrO7lC7iIiIdB/BDGdlwKA2jwf621o55/Y65+r9D/8AnOX//rPAe865g865g8CrgCZM+fW743YsLu6INouLo98dt4eoIhEREekswQxni4HhZjbUzGKAa4GitheYWduunkKgZehyG3CBmUWZWTS+xQCfGNbsrVIKCsj+4YNEeTxgRpTHQ/YPH2x3MYCIiIh0L0FbremcazKzbwDzgUjgSefcKjN7EFjinCsCbjWzQqAJ2Afc6H/5i8DFwAp8iwNec85pr4g2UgoKwiqMHVq2i5r5W2iuqicyNZbkaUNIGN8v1GWJiIh0O0ELZwDOuXnAvKPa7m3z/V3AXe28rhm4JZi1Sec5tGwXVbM34Bq9ADRX1VM1ewOAApqIiEgHhXpBgPQANfO3tAazFq7RS838LaEpSEREpBtTOJNT1lxV36F2EREROTaFMzllkamxHWoXERGRY1M4k1OWPG0IFn3kbyWLjiB52pDQFCQiItKNBXVBgPQOLZP+tVpTRETk1CmcSadIGN9PYUx6hIrKOWze9Ah19RXExWaTkzuT7KxAjwUWETl1CmchdM3jiwCYdYsOPxAJBxWVc1i79m683loA6urLWbv2bgAFNBHpMppzJiLit3nTI63BrIXXW8vmTY+EqCIR6Y0UzkRE/OrqKzrULiISDApnIiJ+cbHZHWoXEQkGhTMREb+c3JlERMQf0RYREU9O7swQVSQivZEWBEin0QIH6e5aJv1rtaaIhJLCmYhIG9lZMxTGRCSkNKwpIiIiEkYUzkRERETCiMKZiIiISBhROBMREREJIwpnIiIiImFE4UxEREQkjCiciYiIiIQRhTMRERGRMKJwJiIiIhJGFM5EREREwojCmYiIiEgYUTgTERERCSMKZyIiIiJhJCrUBcjJu+bxRQDMumVSiCvpGqWlpSxYsIDq6mpSUlKYOnUqeXl5oS5LRESkUymcSbdQWlpKcXExjY2NAFRXV1NcXAyggCYiIj2KhjWlW1iwYEFrMGvR2NjIggULQlSRiIhIcCicSbdQXV3doXYREZHuSuFMuoWUlJQOtYuIiHRXCmfSLUydOpXo6Ogj2qKjo5k6dWqIKhIREQkOLQiQbqFl0r9Wa4qISE+ncNbDrX+/kp0fVdPc5Pjz999l0oxcRkzMCnVZJyUvL09hTEREejwNa/Zg69+vZOGza2lucgAc3FfPwmfXsv79yhBXJiIiIseicNaDLZqziaYG7xFtTQ1eFs3ZFKKKRERE5EQUznqwg/vqO9TeHVzz+KLWkxFERER6IoWzHiwxLbZD7SIiIhJ6Cmc92KQZuUTFHPlLHBUTwaQZuSGqSERERE5EqzV7sJZVmc+9tJzmJkdiWmy3Xq0pIiLSGyic9XAjJmbRf7lvF/0v3TLpmNeteWchFRu20tzUyBNff4Ip197AqCkXdVWZIiIi4qdhTWHNOwt5/YnHaG5sAOc4sGc3rz/xGGveWRjq0kRERHodhTPhneefpqnhyBWcTQ31vPP80yGqSEREpPdSOBMO7N3ToXYREREJHoUzISk9o0PtIiIiEjwKZ8KUa28gKubIvc+iYmKZcu0NIapIRESk99JqTWldlfn3Ob7VmkkZmVqtKSIiEiLqOeumqouLqS0p4fDixWy4eCrVxcWndL9RUy4ie/hIBo4aw82/fqrDwezQsl00bDtA/UfVVPz0Aw4t23VK9bSntLSUHTt2sGXLFn7xi19QWlra6e8hIiISagpn3VB1cTEV99yLa2gAoKm8nIp77j3lgHayDi3bRdXsDbhm3yHrzVX1VM3e0KkBrbS0lOLiYpqamgCorq6muLhYAU2CQme4ikgoKZx1Q7t+8UtcXd0Rba6ujl2/+GVI6qmZvwXX6D2ynkYvNfO3dNp7LFiwgMbGxiPaGhsbWbBgQae9h4iISDhQOOuGmioqOtQebM1V9R1qPxnV1dUdahcREemuFM66oajs7A61B1tkamyH2k9GSkpKh9pFRES6K4WzbqjfHbdjcXFHtFlcHP3uuD0k9SRPG4JFH/lbyaIjSJ42pNPeY+rUqURHRx/RFh0dzdSpUzvtPURERMKBttLohlIKCgCwV8twDQ1EeTz0u+P21vauljC+n6+eF5fjmr1EpsaSPG1Ia3tnyMvLA2DeC+toamoiJSWFqVOntraLiIj0FApn3VRKQQHx5b7VZMP/cGuIq/EFtJgPkgDIvuWcoLxHXl4eAxcdAuCOWz4flPcQEREJNQ1rioiIiIQRhTMRERGRMKJwJiIiIhJGFM5EREREwojCmYiIiEgYCWo4M7PLzGydmW00szvbef5GM9ttZsv9Xze1eW6wmb1uZmvMbLWZDQlmrSIiIiLhIGjhzMwigV8DlwNnAJ83szPauXSWc26c/+sPbdqfBh52zo0CzgE67xTtMPCj937Ekp1LWLJzCflP5/Oj934UlPdZ/34lWz+qYvPG/fz5+++y/v3Kdq9b885CKjasY8ealTzx9S+z5p2FQalHREREji+YPWfnABudc5udcw3A88CMQF7oD3FRzrk3AJxzB51zh4NXatf60Xs/Yta6Wa2Pvc7LrHWzOj2grX+/kn88u4ZdzsvuSMeT9TU899dVnwhoa95ZyOtPPEZzYwM4x4E9u3n9iccU0EREREIgmOFsALC9zeMd/rajXWVmpWb2opkN8reNAKrMbLaZLTOzh/09cT3CC+tf6FD7yVo0ZxMbvU14DRK8sCvSy1PxdXz7pVK27f04677z/NM0NRx5SHlTQz3vPP90p9YjIiIiJxbqBQHFwBDnXB7wBvBnf3sUMAWYCZwN5AA3Hv1iM7vZzJaY2ZLdu3d3TcWdwOu8HWo/WQf31bM6ppkIB329xldr4ji3Loo1rpGpP3+T+4tWsfdgPQf27mn39cdqFxERkeAJZjgrAwa1eTzQ39bKObfXOdfSZfMH4Cz/9zuA5f4h0SbgZeDMo9/AOfeEc26Cc25CZmZmp3+AYImw9v+3H6v9ZEX3jWFjdDPxDgwjFmNKXTS3RSTzn2cN5OlFW7jg4TcpzT6fRvvkSV5J6RmdWo+IiIicWDDD2WJguJkNNbMY4FqgqO0FZpbd5mEhsKbNa1PNrCVxXQysDmKtXepzIz7XofaT1XxWX5oMErzW2hYVE8G0zwznof/I4/U7PsWk3HTeih3DXwZ9gUORfXCt18Uy5dobOrUeERERObGgHXzunGsys28A84FI4Enn3CozexBY4pwrAm41s0KgCdiHf+jSOddsZjOBBWZmwFLg98Gqtav94NwfAPDUVt/jCIvgcyM+19reWT44cIh+8THE1zbhbYLEtFgmzchlxMQsAIb1S+L3N0xgyZZ93DvrfVbv78MhbwIJGZlccO0NjJpyUafWIyIiIicWtHAG4JybB8w7qu3eNt/fBdx1jNe+AeQFs75Q+sG5P2BFySIAZt3wzU6//96D9by9YQ9fnZLDsm37AfjSLZPavXbCkDQemRTLF4p3sT8yidVRg7mg0ys6dXPnzmXr1oM453jggdc566yzmD59eqjLEhER6VShXhAgQTJvZSXNXseMcZ4TXrvmnYW88ftfE99QQ5S3kbejRvDaE78Oq6005s6dy5IlS/B6HV5nOOdYsmQJc+fODXVpIiIinUrhrIcqWl7GiP6JnJ6VdMJrW7bSMCC5sYaq6FRWxQwOq600li5dSpMzqujDbpL4W10+CxqG8eR75by9fjdVhxtCXaKIiEinCOqwpoTGjv2HWbxlP9+ZNhLflL3ja7tlRpy3joz6PSxOPYuRZbOO86qu1ex1vN04jAai6EM9WREH2eP6sL2pLzc8+QEAQ9L7kDcwlbyBKeQPSmW0J5k+MfotLiIi3Yv+5uqBiksqACjMP/GQJvi2zDiwx7dPnAHnVC1mXv/L2dr/E7uXhIRzjkVNQ9jm7UsSdfSxBj4VsxmABqK48vr/pmRHFaXbq1myZR9FJeUARBiM6J/UGtbyB6YyMiuJ6Eh1GIuISPhSOOuB5iwv48zBqQxK6xPQ9VOuvYHXn3is9XHO4S30a9jD0vRzaGr2EhXiMPPT19ayoTmTvMhydnoTj3juvAnjmDwsg8nDPt6TbdeBOkq3V1O6o4qSHdW8sXonf1uyA4CYqAjOyE4mf2AKeQNTyR+UQk5GIhERJ+5hFBER6QoKZz3MusoDrK08wAOFowN+TcuWGX+fs5XmpkaSMzL5n/M8PLCkgdnLyrh6wqAT3CF4fvfWJh5/azPXnzuYiZGOHy/yrdY0s2Ou1uyXFMclZ8RxyRn9AV/P2479tZTsqKJkuy+wvbB0B39e5NvLJDE2irEDUsgblEK+f1h0QGp8QEPCIiIinU3hLEAvLyvj4fnrKK+qxZMaz3emjeQz49s7KjS0ikrKiIwwrhibfeKL2xg15SKyV/u29rj5lq/inGN2xbv83z838NnxA044FHho2S4ath3ANXup+OkHJE8bQsL4fif9OQBmLd7GT19dy/S8bB4oHENkxFieKffVeN8tnw/4PmbGoLQ+DErrw/Q831Bvs9exafdBSrZXUbrD18v25L8+orHZtw1vekIMef7etXGDfIEtPTH2lD6PdA8VlXOoqSnH663n3Xe/S07uTLKzZoS6LBHpRRTOAvDysjLumr2C2sZmAMqqarlr9gqAsApozjnmLC9n8rAMMpNOLUiYGbdfMpyv/HkJsz/cwTVnDz7mtYeW7aJq9gZcs+9s0OaqeqpmbwA46YD22soK7pq9gk+NyOTnV48jspOHHSMjjBH9kxjRP4nP+XsG65uaWVtxoHU4tHRHFW+u343zH5swIDWe/EEprYsOxg5IISkuulPrktCqqJzD2rV34/XeBEBdfTlr194NoIAmIl1G4SwAD89f1xrMWtQ2NvPw/HVhFc4+3FbFjv213HHJiE6538Wn9yN/YAr/98+NfHb8QGKi2u89q5m/Bdd45KHtrtFLzfwtJxXO3t24h1ufW07+oFR+d/2Zx3zfzhYbFelbODAolS/62w7VN7GyrJrSHdUs31FF6Y4q5q2oBMAMcjISWhcb5A1MYVR2MnHRkV1Sr3S+zZseweutPaLN661l86ZHFM5EpMsonAWgvKq2Q+2hUrS8jNioCC4d3b9T7ufrPRvBl/+0mL9/uIPPn9N+71lzVX2H2o+nZHsVNz+9hKEZCTx149kh3wojITaKiTnpTMxJb23bd6iB0h0fD4e+vX4Psz8sAyA60hiZleRbbOBfJTosMzHkiyokMHX1FR1qFxEJBoWzAHhS4ylrJ4h5UuNDUE37mpq9zC2t4JJR/Tt1qO3CkZmMG5TKY//cyFVntt97Fpka224Qi0zt2NDqxl0HufGpD+ibEMPTXzmH1D4xJ113MKUlxHDhyH5cONLXK+ico6K67ojh0OKScv76/jYA4qMjGTMg+eM92Aamclp6Hy04CENxsdnU1Ze32y4i0lUUzgLwnWkjj5hzBr6/cL8zbWQIqzrSu5v2svdQA4UBHNfUES1zz258ajEvLN3OFyae9olrkqcN8c0xa2zzuugIkqcNCfh9yqpq+eIf3ycyIoJnvjKR/slxnVB91zAzPKnxeFLjuWyM7y9xr9exZe8hSndUt64Sfea9rdQ3+YZ/U+KjW4Nayz5s3ekz91Q5uTNb55i1iIiIJyd3ZogqEpHeSOEsAC3zysJ5teac5WUkxUVx4cjMTr/3BSMyGT84lV//cyP/edZAYqOOnFPVMq/MXlyOa/YSmRrbodWaew/W88U/vs/B+iZm3TyJIRkJnf4ZulpEhJGTmUhOZmLr75PGZi/rdx5oHQ4t2V7Nb9/aRLPXt+Kgf3LsEcOheQNSSemjBQddqWVeWcRi32rNuFiPVmuKSJdTOAvQZ8YPCKsw1lZtQzPzV1YyPc/zieDUGcyMOy4ZwQ1PfsDfluzgi+d+svcsYXw/Yj7wneOZfcs5Ad/7QF0jNz61mLL9tfzlKxM5w5PcaXWHm+jICEZ7UhjtSWmdv1fb0MzqimpK/Jvmlvo3zW2hI6m6XnbWDJKTfVu2TJ58e4irEZHeSD/le4AFa3dyqKGZGeM7d0izrSnDMzjrtL78ZuFGrp7wyd6zk1HX2MzNTy9ldUUNT3zxLM4ZmtYJlXYv8TGRnHVaGmed9vFnr65tZGVZdeuRVIvbOZIqf2Bq66a5OpJKRKRnUTjrAeYsL6d/ciwTh6af+OKT1NJ7dv0f32fW4u3cMGnIKd2vqdnLrc8tY9HmvfzimnymjuqcFaY9QUp89AmPpHp9dSWzlmwHdCSViEhPo3DWzTU1e3lz3S6+NGlIp2/UerTJw9I5e0hffrNwE1dPGHTS+3k55/j+Syt4ffVO7is4g8+OH9jJlfY8xzqSavn2qtbA1vZIqqTYKMboSCoRkW5J4ayb23e4gcZmx4xxwZ8P19J7dt0ffL1nXzpvyEnd56evruVvS3Zw69ThfHny0M4tspdoeyRVQX7HjqRqu2mujqQSEQk/Cmfd3N6DDeRkJDBmQNdMpJ+Um845Q9P4zZsbuebsjvee/fbNTTz+9ma+eO5p3HHJ8CBV2TvpSCoRkZ7hhOHMzJYCTwJ/dc7tD35JEqiGJi81dU381/lDjzlctf79SnZ+VE1zk+PP33+XSTNyGTEx66Tfs2Xfs+t+/z7PfbCtQz1fz32wjf/32loK8j08UDhaQ2xd4HhHUpW0CWxtj6TKzUw8Yg82HUklItK1Auk5uwb4MrDYzJYATwGvO9fyb28Jlb2HfLvyF+a3v0pz/fuVLHx2Lc0xvl+qg/vqWfjsWoBTCmjn5WYwcWgav3lzE58/Z3BAf3G/uqKCu19awQUjMvnfz+VrsnoIneyRVPkDU1tXiQ7vlxT0OY4iIr3VCcOZc24jcLeZ3QNMx9eL1mxmTwGPOuf2BblGOYa9BxtIiIkkJzOx3ecXzdlEU4MX2pyC1NTgZdGcTacUzgDu+PQIrn3iPZ59fxtfOf/4vWf/2rCH255fzrhBqfy2Cw8yl8AFciRVUUk5z+pIKhGRoAtozpmZ5eHrPbsC+DvwLHA+8E9gXNCqk2Oas7yMQw3NnJbW55jXHNzX/sHjx2rviHNz0pmUk85v39zEdecMJj6m/d6z5duruPkvvoPMnwyDg8wlMCc6kqpllWjbI6lS+0QzdoCOpBIROVWBzjmrAv4I3Omca/mb/X0zmxzM4qR9q8qr+d7fS0mKi6Jf8rFX2yWmxbYbxBLTOmeF3h2fHsHVjy/i2e0ktl8AACAASURBVPe3ctOUnE88v3HXAb781AekJ4b3QeYSmFM5kmrcIF9g05FUIiInFkg3xuecc5vbe8I59x+dXI+cQNXhBv77maWkxsfgSY0j4jjDSJNm5LbOMWsRFRPBpBm5nVLLOUPTmDwsnd+9tYnrJg4+4rkd+w9z/R8+IDIigr/8V/c6yFwC1xlHUo3xpByz51VEpDcKJJzdZGY/c85VAZhZX+DbzrkfBLc0OVqz13Hr88vZWV3PrFvO5aevrj3u9S3zyp57aTnNTY7EtNhTXq15tDsuGcF//m4Rz7y3tbVt78F6bvjjBxxq6DkHmUvgTnQkVcn2Kh1JJSJyHIGEs8udc99veeCc229mVwAKZ13s52+s4+31u3noP8YyfnDfgF4zYmIW/ZenAPClWyZ1ek0ThqQxZXgGj7+1maEZCTjgS099QFlVLc/c1LMPMpfAncqRVPmDUskbmEpORoJW+YpIrxBIOIs0s9iWuWZmFg9oW/Eu9trKSn69cBPXnj2odfgoXNx+yQiu+u2/iY+OpLqukdqGZp644SzOHtL7DjKXwLV3JNX2fbW+A991JJWI9GKBhLNngQX+rTPAt2rzz8ErSY62cddBZr5QQv6gVB6YMTrU5XzCWaf15VMjMnl7/W4AfnnNOC4+XQeZS8eYGYPT+zA4/dhHUpUcdSRVRmLMEdt56EgqEekJAtnn7P+ZWSkw1d/0Q+fc/OCWJS0O1DVy81+WEBsVwe+uP5PYqPCcOP3tT4/gXxt2M6hvn9aVfCKnKtAjqRau29XukVT5A1MZOzCFxFht4SIi3UdAP7Gcc68Crwa5FjmK1+v49t9K2Lr3MM/eNJHslPhQl3RM+YNSmXBaXw0xSdC1dyTVQf+RVKU6kkpEeoBA9jk7F/g/YBS+veYjgUPOOc30DrLfvrWJ11fv5J7pZ3Bum6N2wpWCmYRKYmwU5+akH/Hn5ERHUp2elfxxYNORVCISRgLpOXsMuBZ4AZgA3ACMCGZRAm+u28Ujr69jxjgP/zV5SKjLEel2TuVIqj0H60mO02a5IhIagQ5rbjSzSOdcM/CUmS0D7gpuab3Xtr2Hue355Yzsn8RP/yOvW/RIHVq2i4ZtB3DNXip++gHJ04aQML5fqMsSaXUyR1J94Q/vUZDn4fIx2TrZQES6TCDh7LCZxQDLzexnQAWg3SGDpLahmVueWQrAE1+c0C12Tj+0bBdVszfgmn1/oTVX1VM1ewOAApqEtWMdSfXZX7/L/sMNlO2v5c7ZK7hnzkouGJFJQb6HS0b1J0ELDEQkiAL5CfNFfGHsG8AdwCDgqmAW1Vs557hzdilrK2t46sazGZx+7EPNw0nN/C24Ru8Rba7RS838LQpn0u1ER0aQEBtFQmwUz998LivLaigqKaO4pIJ/rNlFfHQkU0f1ozDfwwUjM8N2BbWIdF/HDWdmFgn8xDn3BaAOeKBLquqlnnp3C3OWlzPz0hGt82S6g+aqTx6ufrz2UzErCKcciByLmTF2YApjB6Zw1+WjWLxlH8Wl5cxbUcnc0gqS4qK4bHQWheM8TMpJJ0pHTolIJzhuOHPONZvZaWYW45xr6KqieqP3Nu/lx/PWcOkZ/fnahcNCXU6HRKbGthvEIlO1Gaj0HBERxsScdCbmpHNfwWje3biHopJyXl1ZyQtLd5CRGMMVY7MpzPdw5uC+OmpKRE5aIMOam4F3zawIONTS6Jz7edCq6mUqqmv5xl8/5LT0Pvzv1fnd7od68rQhvjlmjR+3WXQEydOGhKwmkWCKjoxoXQla19jMm+t2UVRSzqzF23l60VYGpMYzPS+bgnwPoz3J3WJRj4iEj0DC2Sb/VwSQFNxyeh+vc/zPMx9S29DM8zefS1I3XL7fMq/MXlyOa/YSmRqr1ZrSa8RFR3LZmGwuG5PNwfom3lhdSdHycv74r494/O3N5GQmUJDnoXCch9zMxFCXKyLdQCDHN2meWRBt2XuY3Qfq+d31ZzGsX+DZt+KBBzi8vS8Aa371VVKv/hzZ990XrDJPKGF8P2I+8NWffcs5IatDJJQSY6P47PiBfHb8QPYfauDVlZUUlZTxq39u4NEFGxjtSaYw38P0fA8DUsP3xA8RCa1ATghYCLij251zFwelol5k/+EGdh+o52sX5nLZmKyAX1fxwANUPfc8nP8/vobmZt9jCGlAE5GP9U2I4bqJg7lu4mB21tQxt7SCopJyHnp1LQ+9upYJp/WlcJxvD7XMJM3PFJGPBTKsObPN93H4ttFoCk45vcvh+mYAbr+kYwcuVP3thWO2K5yJhJ/+yXF85fyhfOX8oWzde8gX1JaXc++cVdxftIrJwzIoyPcwbXQWKfHdb2qDiHSuQIY1lx7V9K6ZfRCkenqVJq8jwiAmqoPL75ubO9YuImHjtPQEvn7RML5+0TDWVR5o3UPtuy+W8oOXVnLByEwK/ZvddodNqEWk8wUyrJnW5mEEcBaQErSKepFmrzu5g5YjI9sPYpH6QS7SnYzMSuI7Wacz89KRlOyopmh5OXNLy3lj9U76xERyyaj+FOZ7+NSIzI7/I05Euq1AhjWX4ptzZviGMz8CvhLMonqLJq+XqIiO/8BNvfpzrXPMjm4Xke7HzBg3KJVxg1K5+8pRfPDRPv8ear55ainx0Vw+JouCfA/n5qSf3D/qRKTbCGRYc2hXFNIbnWzPWeu8su3+hsjIkK/WFJHOERlhTMpNZ1JuOg8UfrzZbXFJOc8v3k5mUixXjvXtoXbm4FTtoSbSAwUyrPl14FnnXJX/cV/g88653wS7uHBzzeOLgM47QqjZ64g+yeNesu+7jz7+ekb94dZOqUdEwktMVAQXnd6Pi07vR21DMwvX7aJoeTl//WAbf/r3Fgb2jacg30NBnodR2UkKaiI9RCDDml91zv265YFzbr+ZfRXodeGsszV5HXHR+mEqIicWHxPJFWOzuWJsNjV1jbyxaidFJeU88fZmfvvmJob1S6Qw30NhvochGQmhLldETkEg4SzSzMw556D1MPSY4JbVOzR7HVGaOyIiHZQcF81VZw3kqrMGsvdgvX+z23J+/sZ6fv7GevIGplCQ52F6fjbZKdrsVqS7CSScvQbMMrPH/Y9v8bfJKXDO0XSyqzVFRPzSE2O5/tzTuP7c06iormVuiW8RwY/nreEnr67h7CFpFOR7uGJMFumJ2uxWpDsIJJx9D7gZ8G9HzxvAH4JWUS9xuMG3FUZUpMKZiHSO7JR4vvqpHL76qRw+2nOI4pJyikrKueflldxftIrzWze77d8tz/EV6S0CCWfxwO+dc7+D1mHNWOBwMAvr6WrqGgHUcyYiQTE0I4Fbpw7nmxcPY23lgdYVnzNfKOH7L0Vw8ch+FI7zcPHp/YiL1h6JIuEkkHC2ALgEOOh/HA+8DpwXrKJ6g5pa3wlYkSexz5mISKDMjFHZyYzKTua700aybHsVRcvLeWVFBa+tqiQhJpJLR2dRmO/h/OEZJ72CXEQ6TyDhLM451xLMcM4dNLM+QaypV2jpOdOCAJHwUlE5h5qacrzeet5997vk5M4kO2tGqMvqFGbGmYP7cubgvtwz/Qze27yX4pJyXl1ZyUvLykjtE83lY7IpzPdwztA09eyLhEgg4eyQmZ3pnPsQwMzOAmqDW1bPV1OrYU2RcFNROYe1a+/G670JgLr6ctauvRugxwS0FpERxuRhGUwelsGDM8bw9vrdFJeWM2d5Gc99sI3+ybFcOdZD4TgP+QNTtIeaSBcKJJzdDrxgZuX4jnDKAq4JalW9QHWtes5Ews3mTY/g9R75b0+vt5bNmx7pceGsrZioCC45oz+XnNGfww1NLFizi+KScp55bytPvvsRp6X3oSDPQ0G+h5FZSaEuV6THC+T4psVmdjow0t+0zjnXGNyyej71nImEn7r6ig6190R9YqJ8pw7ke6iubWT+qkqKS8r5zZsbeWzhRkb2T6JwnO9UgsHpmuEiEgyB9JyBL5idAcQBZ5oZzrmng1dWz1dT17IgQOFMJFzExWZTV1/ebntvlBIfzdUTBnH1hEHsOVjPvBUVFC0v5+H563h4/jryB6VSmO9hel42/ZPjQl2uSI8RyNma9wEX4gtn84DLgX8BCmenoKa2kQiDCM3jEAkbObkzW+eYtYiIiCcnd2aIKgofGYmx3DBpCDdMGkJZVS1z/Xuo/XDuan70ymomDk2jMH8Al4/Jom+CDpERORWBrJn+T2AqUOmc+zKQD6QEcnMzu8zM1pnZRjO7s53nbzSz3Wa23P9101HPJ5vZDjN7LJD3605q6hrVayYSZrKzZnD66T8mIsK3k35crIfTT/9xj55vdjIGpMZzywW5vHLrFBZ8+wJumzqcXQfq+f5LKzj7x//gy099wEvLdnCwvinUpYp0S4EMa9Y657xm1mRmycAuYNCJXuTfrPbXwKeBHcBiMytyzq0+6tJZzrlvHOM2PwTeDqDGbqemtoko7XHWIaWlpSxYsIDq6mpSUlKYOnUqeXl5oS5LepjsrBkkJy8CYPLk20NcTfjLzUzk9ktGcNvU4awqr6G4tJy5JRXcMauE2KgVTB3Vj8J8DxeO1Ga3Ev7+XrmPhzZXUFbfyIDYaO7KyeaqrLQuryOQcLbEzFKB3wNL8W1GuyiA150DbHTObQYws+eBGcDR4axd/i07+uM7x3NCIK/pTtRz1jGlpaUUFxfT2OhbSFFdXU1xcTGAAppIGDAzxgxIYcyAFL437XQ+3Laf4hLfZrfzVlSSGBvFpaP7U5jvYfIwbXYr4efvlfuYuW47tV4HwI76Rmau2w7Q5QEtkNWaX/N/+zszew1Ids6VBnDvAcD2No93ABPbue4qM/sUsB64wzm33cwigP8Frsd3OkGPU1PXqG00OmDBggWtwaxFY2MjCxYsUDgTCTMREcaEIWlMGJLGPdPPYNHmvRQtL+e1VZXM/rCMtIQYrhibRUGeh7OHpBGhn4USBh7aXNEazFrUeh0Pba4Iv3DWlnNuSye/fzHwnHOu3sxuAf4MXAx8DZjnnNtxvI0PzexmfIeyM3jw4E4uLbhqapu6rOds1i2TuuR9gqm6urpD7SISHqIiI5gyPJMpwzP50WfH8Na63RSVlPPi0h088942slPimJ6XTWH+AMYMSNZmtxIyZfXt7xJ2rPZg6lA466AyjpybNtDf1so5t7fNwz8AP/N/PwmYYmZfAxKBGDM76Jy786jXPwE8ATBhwoQj426Yq6lrJFbd+gFLSUlpN4ilpAS0NkVEwkBslO8cz0tHZ3Govol/rNlJcUk5f/r3Fn7/zkcMzUigIC+bwnEehvXTZrfStQbERrOjnSA2IDa6y2sJZjhbDAw3s6H4Qtm1wHVtLzCzbOdcy+6OhcAaAOfcF9pccyMw4ehg1p0556ipbSQrRfsCBWrq1KlHzDkDiI6OZurUqSGsSkROVkJsFDPGDWDGuAFUHW5g/qpKikrKeWzhRn71z42cnvXxZreD0rTZrQTfXTnZR8w5A4iPMO7K6fp9DgMKZ/6Vl/3bXu+c23a81zjnmszsG8B8IBJ40jm3ysweBJY454qAW82sEGgC9gE3ntSn6GYONTTjdTq6qSNa5pVptaZIz5PaJ4Zrzh7MNWcPZteBOuaVVlBUUs7PXlvHz15bx/jBvs1ur8zLpl+S/lErwdEyr6xbrNY0s28C9wE7Aa+/2QEn/FvROTcP38a1bdvubfP9XcBdJ7jHn4A/nei9upOPj27SsGZH5OXlKYxJ0FVUzqGmphyvt5533/0uObkztc9ZF+qXFMeNk4dy4+ShbN93mOLScopLKnigeDU/nLuaSbnpFOR5uHxMNil9un64SXq2q7LSQhLGjhZIz9ltwMij5ofJKaip06HnIuGoonIOa9fejdfr2w+7rr689cQABbSuNyitD1+7cBhfu3AYG3YeoNh/KsGds1dwz5yVXDAik4J8D5eM6k9CbDBn6Yh0rUB+N28HtCSuE9XU6lxNkXC0edMjeL21R7R5vbVs3vSIwlmIDe+fxLcuHckdnx7ByrIaikrKmFtawT/W7CI+OrJ1s9sLRmYSG6XNbqV7CyScbQbeNLNXgPqWRufcz4NWVQ/XMqypnjOR8FJXX9Ghdul6ZsbYgSmMHZjCXZePYsnW/RSVlDFvRSVzSytIiovistFZFI7zMCknnSitipduKJBwts3/FeP/klPUMqypnjOR8BIXm01dfXm77RJ+IiKMc4amcc7QNO4rGM2/N/k3u11ZyQtLd5CRGMMVY7MpzPdw5uC+2uxWuo1ATgh4AMDMEv2PDwa7qJ7u4wUB+kEhEk5ycme2zjFrERERT07uzBBVJIGKjozgghGZXDAik7rGMby5bhfFJRXMWrydpxdtZUBqPNPzsinI9zDao81uJbwFslpzDPAXIM3/eA9wg3NuVZBr67Fq6nxzzjSsKRJeWuaVRSz2rdaMi/VotWY3FBcdyWVjsrlsTDYH65t4Y3UlxSUV/PFfH/H425vJyUygIM9D4TgPuZmJoS5X5BMCGdZ8AviWc24hgJldiO8Q9POCWFePVlPbSEJMpP7lJhKGsrNmkJy8CIDJk28PcTVyqhJjo/js+IF8dvxA9h9q4NWVlRSXlPOrf27g0QUbGO1JpjDfw/R8DwNS40NdrggQWDhLaAlmAM65N80sIYg19Xg1dY0kx2t/HhGRrtQ3IYbrJg7muomD2VlTx9zSCopLynno1bU89OpaJpzWl8Jxvj3UMpNiQ12u9GIBrdY0s3vwDW0CXI9vBaecpJraJpLjwi+c9YQD0kVEAtE/OY6vnD+Ur5w/lG17fZvdFi0v5945q7i/aBWTh2VQkO9h2ugsUvSPaeligYSz/wIeAGb7H7/jb5OT5Os504aJIiLhYHB6H75+0TC+ftEw1lV+vNntd18s5QcvreSCkZkU+je7jY/RHmoSfIGs1twP3NoFtfQaNXWN9E+K42B9U6hLERGRNkZmJTEyayTfvnQEJTuqKS4pZ25pOW+s3kmfmEg+fUZ/CvI8fGpEJjFR2kNNguOY4czMfumcu93MivGdpXkE51xhUCvrwWpqmxjeL1rhTEQkTJkZ4walMm5QKt+/YhQffLSP4tJyXl1RwZzl5aTER3P5mCwK8j2cm5OurZGkUx2v56xljtkjXVFIb1JT10hyXBSf3OpSRETCTWSEMSk3nUm56TxQOJp/bdhDUUk5xSXlPL94O5lJsVw51reH2pmDU7USX07ZMcOZc26p/9txzrlH2z5nZrcBbwWzsJ7KOUdNrVZrioh0R9GREVx0ej8uOr0fdY3N/HPtLoqWl/PXD7bxp39vYWDfeAryPRTmezg9K0lBTU5KILPSvwQ8elTbje20SQAONTTjdYTlak0REQlcXHQkV4zN5oqx2Ryoa+T1VTspKinnibc389s3NzGsXyKF/qA2JEM7UEngjjfn7PPAdcBQMytq81QSsC/YhfVULUc3abWmiEjPkRQXzVVnDeSqsway71AD81ZUUFRSzi/+sZ6fv7GevIEpFOR5mJ6fTXaKNruV4zteQvg3UAFkAP/bpv0AUBrMonqylkPP1XMmItIzpSXEcP25p3H9uadRUV3LK6W+oPbjeWv4yatrOHtIGgX5Hq4Yk0V6oja7lU863pyzrcBWQDuTdqKaWt8KTc05ExHp+bJT4rlpSg43Tcnhoz2HmOvfQ+2el1dyf9Eqzm/d7LY/SfpHe1i45nHf8W2h3Jg9kIPPzwX+DxgFxACRwCHnXHKQa+uRWoc19YdQRKRXGZqRwDenDucbFw9jbeWB1hWfM18o4fsvRXDxyH4UjvNw8en9iIvWZre9WSATnx4DrgVeACYANwAjgllUT9Y6rNkJc8503JJIcOjPlgSTmTEqO5lR2cl8d9pIlm2vomh5Oa+sqOC1VZUkxERy6egsCvM9nD88g+hIbXbb2wSUEJxzG80s0jnXDDxlZsuAu4JbWnh5eVkZy7ZV0dDsZfJP/8l3po3kM+MHfPLC0r/BggehegekDISp90Le1a1PV/t7zt7b+Salu3fQ4G3g0hfv47Yzb+PKnCu76uOIyDFUVM5h86ZHqKuvIC42m5zcmWRnzQh1WdJDmRlnDu7LmYP7cs/0M3h/816KSsp5dWUlLy0rI7VPNJePyaYw38M5Q9O02W0vEUg4O2xmMcByM/sZvkUCvSrGv7ysjLtmr6Ch2QtAWVUtd81eAXBkQCv9GxTfCo21vsfV232PoTWgtcw5e3jpgzR4rweg4lAF9//7fgAFNJEQqqicw9q1d+P1+v4M19WXs3bt3QAKaBJ0kRHGecMyOG9YBg/OGMM7G3ZTVFLOnOVlPPfBNvonx3LlWA+F4zzkD0zRHmo9WCAh64v45pl9AzgEDAKuCmZR4ebh+euobWw+oq22sZmH56878sIFD34czFo01vra/WrqGrGIBuq9h4+4rK65jkc/1NZxIqG0edMjrcGshddby+ZNOihFulZMVARTR/Xn0WvHs+QHl/DYdePJH5jKM+9t5TO/fpcLH3mTR+avY13lgVCXKkEQyMHnW/3f1gIPBLec8FReVRtYe/WO9m/Qpr2mthEiDrd7WeWhypOqT0Q6R119RYfaRbpCn5gopud5mJ7nobq2kddXVVJUUs5v39rEYws3MrJ/EoXjPBTkeRic3ifU5UonON4mtCto58DzFs65vKBUFIY8qfGUtRPQPKlHbSSYMtA3lHm0lIGt39bUNRId3f6B51kJWadUp4icmrjYbOrqP3nqbVxsdgiqEfmklPhoPjdhEJ+bMIg9B+uZt6KC4pJyHp6/jofnryN/UCqF+R6m52XTPzku1OXKSTresOZ0oAB4zf/1Bf/Xq8C84JcWPr4zbSTxRy1rjo+O5DvTRh554dR7IfqowBYd72v3q6ltYlBKBnGRR/6hiYuM47Yzb+vUukWkY3JyZxIRceSf4YiIeHJyZ4aoIpFjy0iM5YZJQ3jhv8/j3Tsv5q7LT6fZ6+WHc1dz7kMLuPaJRfz1/W3sP9QQ6lKlg060CS1m9mnn3Pg2T33PzD4E7gx2ceGiZdL/7bOWAzAgNb791ZotqzKPs1qzpq6RIan9+I/z7mfmFt9qzeyEbK3WFAkDLZP+tVpTupsBqfHcckEut1yQy6bdByn2b3b7/ZdWcO+clUwZnkHhOA+fPiOLxFgdHxjuAvkVMjOb7Jx71//gPHrZak3wBbR7Xl4JBu/eefGxL8y7+ogwdrSaukZG9E/iypwreTrTvwvxf36zs8tttf79ShbN2cTBffUkpsUyaUYuIyZq+FTkWLKzZiiMSbeWm5nI7ZeM4Lapw1ldUUNRSTlzSyq4Y1YJsVErmDqqH4X5Hi4cqc1uw1Ug4ewrwJNmlgIYsB/4r6BWFaaiIu0TqzY7qqa2ieS4rvlXy/r3K1n47FqaGnxbgBzcV8/CZ9cCKKCJiPRwZsZoTwqjPSl8b9rpLNu+v3Wz23krKkmKjeLS0VkU5GczeZg2uw0ngazWXArk+8MZzrnqoFcVpmIiI6ipa38yfyC8XseBusYuO1dz0ZxNrcGsRVODl0VzNimciYj0IhERxlmnpXHWaWncM/0M3tu8j6KSMl5dWcnfP9xBWkIMV4zNojB/ABNO60uENrsNqeOt1rzeOfeMmX3rqHYAnHM/D3JtYSc6MoJmr6O+qZnYqI53BR9qaMLruu5czYP76jvULiIiPV9UZATnD8/g/OEZ/PAzY3hr3W6KSyv4+9IynnlvG9kpcUzPy6YwfwBjBiRrs9sQOF7PWYL/v0ldUUh3EB3p+w2652ADA47eRiMALb1unXGuZiAS02LbDWKJabFd8v4iIhLeYqN853heOjqLQ/VN/GPNTopLyvnTv7fw+3c+YmhGAgV52RSO8zCsn+JAVzneas3H/f/tlRvPtic6yjcev/tA/cmFM/+5mildNKw5aUbuEXPOAKJiIpg0I7dL3l9ERLqPhNgoZowbwIxxA6g+3MhrqyooKinnsYUb+dU/N3J61seb3Q5K02a3wXS8Yc1fHe+FzrlbO7+c8NYyWXLPgZMbFmwJZ101rNkyr0yrNUVEpCNS+kRzzdmDuebswew6UMe8Ul9Q+9lr6/jZa+s4c3AqBfkerszLpl+SNrvtbMcbX1vaZVV0Ay8vK2O9/wyzmS+UcH/h6E/uc3YCHw9rdk04A19AUxgTEZGT1S8pjhsnD+XGyUPZvu8wc/1B7YHi1fxw7mom5aZTkOfh8jHZpPTpur/ferLjDWv+uSsLCWcvLyvjrtkraPT6TrOqqm3krtkrADoU0Lq650xERKQzDUrrw/9cmMv/XJjLxl0HKCrxHR915+wV3DNnJReMyKQg38Mlo/qToM1uT9oJ/8+ZWSbwPeAMoLXv0jl3nJ1Ye5aH56/7xP5mtY3NPDx/XcfCWZ0/nHXRggAREZFgGdYviW99Ook7LhnOyrIaikvLKS4p5x9rdhEfHdm62e0FIzNPaoeD3iyQlPAsMAu4Evhv4EvA7mAWFW7K2zn0/Hjtx1JT6xvW1NEZIiLSU5gZYwemMHZgCndedjpLtu6nuKSceSsqmFtaQVJcFJeNzqJwnIdJOelEabPbEwokJaQ75/5oZrc5594C3jKzxcEuLJx4UuMpayeIeTq4YrOmrpHE2Cj9xhQRkR4pIsI4Z2ga5wxN476CM3h3016Klpfz2spKXli6g4zEGK4Ym01hvoczB2uz22MJJJw1+v9bYWZXAuVAWvBKCj/fmTaSu2avOGJoMz46ku9MG9mh+9TUNnbZ0U0iIiKhFBUZwQUjMrlgRCZ1jWN4c91uikvKmbV4O08v2sqA1Him52VTkO9htEeb3bYVSFL4kf/opm8D/wckA3cEtaow0zKv7LsvltLQ7MWAh/5j7Ems1uy6o5tERETCRVx0JJeNyeKyMVkcrG/iH6t3UlRSzh//9RGPv72ZnMwECvI8FI77/+3df5TddX3n8ec7M5mbkJkktD7YxAAAHB1JREFUkBkgvzCkYqwiCKYUt0JBt4Ii0dYtYsuK7lrdXV3AWqp2V2qpbQ9HK+LW4ym1tli3AqVUE1ERla60ohIEgoARSiOEBAnEZJIwk8yP9/5x7x2SYWZyL7l37ne4z8c5Ocz3c+/35p1cvvjy83MJv9DX3epyW66WcPb9ynmaO4Ezm1zPjJDA3uH6D0AvH3puOJMkta/uUidvOmkpbzppKT/fs4+v3/c4a+/ewqe+/SBXfetBXrpkPmtOXMIbTlzynDZ8PxQf2PgIt+/YDcDSW+/mgiVHcMWqY6a1BqgtnP1rRGyivCjgxsz8eXNLKp7qVhr7Rp7Zaf+yL99HqbOj7tWaixe4WZ8kSQCHz+viraccw1tPOYaf9Q9yU2UPtT/72o/5s6/9mNUvOJw1Ly/vodbX09yjBz+w8RGu2bKdrsr1CHDNlu0A0x7QDjozPTNfBPxv4KXAnRHxlYi4oOmVFchEW2nsHR7lYzdvrOtz+geH7DmTJGkCR82fw3951bF86T2/wncuPZNLz1rF7r3DXPbl+/jlP/0m//mvv8/16x9l58DQwT/sOfhCJYjV2t5MNS0bzMwfZObvAqcA24G22qC2kVtpOOdMkqSpHbPoMN5z5gv5+iWn8433nc7/OOOF/PSpp/n9GzbwSx/9Jr/z+fWsu2cLA/vqn2I0mck+qXG/Q+1q2YR2PvDrwPnALwD/RDmktY1GbKUxOprsGnS1piRJ9XjRUT383lmreP9rX8SGzTtZe88WvrJhC7fc/zMO6+rg115yFOeesITTX9RHV+dz36qqg4mDWCu2z60lKdwDfAm4PDNvb3I9hTTRVhqds6KurTT27BtmNKf3XE1Jkp4vIoITly/kxOUL+YPX/yJ3bNrO2nu28LV7t/Llu7ewYO5sXnf80Zx74hJOXbmIjjr3ULtgyRFjc8zGt0+3WsLZysxMgIh4Q2Z+pck1Fc74rTRmBZxy7BF1LgaoHHr+PJ5zdt27X9nqEiRJbaBjVnDqykWcunIRf7TmpfzLQ0+y7u7y8VHX3vEofT0lznlZeQ+1k49ZWNMeatVJ/1+sHILUAcVdrVkNZhWXA20XzqAc0L74g0cA2PH0UN0Huo4det6gczV3rlvHE1d+kuGtW+lcvJgj33cJC849tyGfLUnSTDG7YxZnrjqSM1cdyeDQCN/+8ROsu2cLf/+DR/jb725i2eFzOffEJaw5cQkvPrpnyqB2xapj2LTwMQCuO/Pl0/VHeJZ6k4Lb9wJ9PSWe3L23rnvGwlkDes52rlvH1g9fRg4OAjC8ZQtbP3wZgAFNktS25szu4PUvW8zrX7aYXYNDfOO+n7Fuwxau/s7DfOaf/40XHtnNmkpQW9E7r9XlTqrecPbuplQxw/T1lNi0aU9d94wNazZgztkTV35yLJhV5eAgT1z5ScOZJElAz5zZvPkVy3jzK5axfc8+vnrvVtbds4Urv/kTPnHLTzhh2QLOPWEJbzhxMYsXTO9mtwdTy2rN3wS+npm7gLMi4oPARzPzh02vrqB6u7vYtmsvmVnzWWCN7Dkb3rq1rnZJktrZEfO6uODUF3DBqS9g684BbtpQDmp/8tUH+NOvPcAvrTiCc09cwuuPP7rVpQK19Zx9ODP/ISJeBbwa+DjwGeCXm1pZgfX1lNg7PMruvcP01Bi2+gcbN+esc/FihrdsmbBdkiRNbvGCubzztJW887SVbHpyD+vu2cLae7bw4S/9iI+svY/uUieL5nXV1QHTaLVsCFLdP+Ic4K8y8yYYO92gLVWPkNi2q/Z5Z9UdjbvrXEgwkSPfdwkx58BjoGLOHI583yWH/NmSJLWLFb3z+J+vOY5vvO90vn7Jabz79JUMDo3weP9gy4IZ1NZz9lhE/CXwa8AVEVGixpMFnq96u58JZyv7umu6p39gmO5SJ50dh/5XV51X5mpNSZIOXUTw4qPn8+Kz57N+03aGR/PgNzVRLeHsPOBs4OOZuSMiFgOXNresYqv2nD25e1/N9/Q3+HSABeeeaxiTJKnBIoLZHa3dnKKWtLAYuCkz90bEGcAJwOebWlXB9Y31nA0e5J3P6B8Y8nQASZJ0ULWMsf0jMBIRLwSuBpYDf9/Uqgru8MO66JgVz6HnzHAmSZKmVks4G83MYeA3gP+TmZdS7k1rW7NmBYvmddW1IKB/YLhhpwNIkqTnr1rC2VBEvBV4G88c3dT2XUB9PSW21XFKgD1nkiSpFrWEs3cArwT+JDP/PSKOBf6uuWUVX293fUc4OedMkiTV4qDhLDPvB34PuDcijgc2Z+YVtXx4RJwdERsj4qHKyQLjX397RGyLiLsrv95ZaX95RNweEfdFxIaIeEudf66m6+sp1TysOTqa7No73NDVmo32wG23cvV73sGfn38uV7/nHTxw262tLkmSpLZUy/FNZwDXAJsoH3y+PCIuzMzvHOS+DuDTlPdH2wzcERFrK2Fvf9dl5nvHtT0NvC0zH4yIJcCdEXFzZu6o5Q81Hao9Z7XsILx73zCZjTlXsxkeuO1WvnH1XzC8rxw2dz25jW9c/RcA/OJpZ7ayNEmS2k4tw5p/Drw2M381M08HzgKurOG+U4CHMvPhzNwHXAu8sZaiMvMnmflg5ectwBNAXy33Tpe+nhJDIzm28/9UGnmuZjPcdu3nx4JZ1fC+vdx2bVvvmCJJUkvUEs5mZ+bG6kVm/oTaFgQsBR7d73pzpW28N1eGLm+IiOXjX4yIUygfF/VvE7z2rohYHxHrt23bVkNJjVPPEU79A8NAY87VbIZdTz1ZV7skSWqeWsLZnRHx2Yg4o/Lrr4D1Dfr91wErMvME4BbKw6djKqcR/B3wjswcHX9zZl6dmaszc3Vf3/R2rPV2l48XrSmcDRa756xnUW9d7ZIkqXlqCWf/DbgfuKjy637gv9dw32OUN6ytWlZpG5OZT2VmNd18FnhF9bWImA/cBPyvzPxeDb/ftDqy2nNWw4rNsWHNgs45O+38t9HZVTqgrbOrxGnnv61FFUmS1L6mHGerTOq/JzNfDHyizs++AziusvXGY8D5wG+N+/zFmbm1crkGeKDS3gX8E/D5zLyhzt93WvR1zwFq7TkrD2suKGg4q076v+3az7PrqSfpWdTLaee/zcUAkiS1wJThLDNHKlthHJOZj9TzwZk5HBHvBW4GOoDPZeZ9EXE5sD4z1wIXRcQaYBjYDry9cvt5wOnAooiotr09M++up4Zmmj+3k66OWRP2nL3lL28H4Lp3vxIo/oIAKAc0w5gkSa1Xywz1w4H7IuIHwJ5qY2auOdiNmflV4Kvj2i7b7+cPAR+a4L4vAF+oobaWiQh6u7t4ctfBz9eszjnrLvA+Z5IkqRhqSQsfbnoVM1StRzj1DwzTU+qkY9bU+6FJkiRNGs4i4oXAUZn5/8a1vwrYOvFd7aW3u8TWnYMHfV//oEc3SZKk2ky1WvOTQP8E7Tsrr7W92nvOhuhxSFOSJNVgqsRwVGbeO74xM++NiBVNq6jAqhP8q/p6Sjy1ey8joznlkKU9Z5IkqVZT9ZwtnOK1uY0uZCbq7S4xmvDzp6deFNA/MFzolZqSJKk4pgpn6yPid8Y3RsQ7gTubV9LMUesRTuWeM4c1JUnSwU2VGC4B/ikifptnwthqyudc/nqzC5sJ9g9nv7h48vf1DwzZcyZJkmoyaTjLzJ8B/yEizgSOrzTflJnfnpbKZoDe7nI4e3KKRQGjo8muvcMTzjkbP4dNkiTpoGNtmXkrcOs01DLj1DKsuXvfMJkw39WakiSpBrUcfK5JzOvqYM7sWVOGs6Ifei5JkorFcHYIIoK+ntKUw5r9A+VDz51zJkmSamE4O0R93VNvRFs9V9PVmpIkqRYmhhp96a7H+NjNG9myY4AlC+dy6VmreNNJS+ntLvHTp56e9L6xYU17ziRJUg0MZzX40l2P8aEb72VgaASAx3YM8KEby4cn9PWUWP/Tn096b/9geVhzgXPOJElSDRzWrMHHbt44FsyqBoZG+NjNG+nrKbF9zz6GRkYnvNeeM0mSVA/DWQ227BiYtL2619n2PRMf4VSdc9btVhqSJKkGhrMaLFk48VGiSxbOPeheZ/0Dw/SUOqc8GF2SJKnKcFaDS89axdzZHQe0zZ3dwaVnrTpoONs5MOQeZ5IkqWaOtdXgTSctBZhwteaj28srNSfbTqN/cIgehzQlSVKNTA01etNJS8dC2v6qc84mH9a050ySpJngAxsf4fYduwFYeuvdXLDkCK5Ydcy012E4O0RzuzroKXVOHs4Gh1k6yZw1SZJUDB/Y+AjXbNkOp/SNtV2zZTvAtAc055w1QO8URziVe87MwJIkFdkXKkGs1vZmMpw1QF93aYqesyH3OJMkqeBG6mxvJsNZA0x2+PnoaLJ777BzziRJKriOOtubyXDWAL3dXRP2nO3aO0wmzHe1piRJhXbBkiPqam8mw1kD9PWU6B8cZnDcEU9jRzfZcyZJUqFdseoYLlxyxFhPWQdwoas1Z67qdhpP7dl3wMrM6tFNzjmTJKn4rlh1TEvC2Hj2nDXAZKcE9A8MA7haU5Ik1cxw1gCThjN7ziRJUp0MZw1QHdYcv2KzOudsgXPOJElSjQxnDbCouwuYqOesOqxpOJMkSbUxnDVAqbODhYfNnmDO2RAR0FNyzpkkSaqN4axBerufvRFt/+AQ3aVOZs2KFlUlSZJmGrt0GmTsCKcN18Pmx2F4L/1bn2Z+x8mtLk2SJM0g9pw1SF9PiW1PPQXrLoLhcg9a/z6YP7C5HNgkSZJqYDhrkN7uEk/uGYKhgbG2/jyM+bkbvnV5CyuTJEkzieGsQfp6SuzJEk9naaytn8OYH0/Dzs0trEySJM0khrMGqW5E+2QuGGvrz3nMZw8sWNaqsiRJ0gxjOGuQ3upeZ51HjrX1cxjzO/bBay5rVVmSJGmGMZw1yNgRTq/4XegskQm7mcv8Vb8KJ5zX4uokSdJM4VYaDTIWzhathmVLGBkZJR/ZwfwVL29xZZIkaSax56xBjjisi4hnjnAaGU0A5s8x/0qSpNoZzhqks2MWi+Z1jYWz4Wo481xNSZJUB8NZA+1/hNMzPWeGM0mSVDvDWQP19ZQm6DlzWFOSJNXOcNZAY+drYs+ZJEl6bgxnDdTbUx7WzEznnEmSpOfEMbcG6ususXd4lJFMRkZHiYCeUnv8Fe+56wn6b97EyI69dCwsMf+sFcw76ciD3yhJkg7QHslhmlT3OhsaSUZGk+5SJ7NmRYurar49dz3BjhsfJIdGARjZsZcdNz4IYECTJKlODms2UG93JZwNjzI8mm0z36z/5k1jwawqh0bpv3lTawqSJGkGM5w10DM9Z5Vw1ibzzUZ27K2rXZIkTc5w1kDjhzXb5XSAjoWlutolSdLkDGcNtHDubDpmBUMjo+Vw1iY9Z/PPWkHMPvBfpZg9i/lnrWhNQZIkzWDt0bUzTWbNCnq7u8rDmiPtM+esOunf1ZqSJB06w1mD9fWU2Lx9oNJz1j5/vfNOOtIwJklSAzis2WC93SX2jZT3OmuXnjNJktQ4hrMG6+suMTg0Ang6gCRJqp/hrMH6ekpUTm5qm9WakiSpcQxnDVbdiBbsOZMkSfUznDVYda8zwDlnkiSpbk0NZxFxdkRsjIiHIuKDE7z+9ojYFhF3V369c7/XLoyIByu/LmxmnY10YM+Zw5qSJKk+TUsPEdEBfBr4NWAzcEdErM3M+8e99brMfO+4e48A/hBYDSRwZ+Xenzer3kax50ySJB2KZvacnQI8lJkPZ+Y+4FrgjTXeexZwS2ZurwSyW4Czm1RnQx0QzpxzJkmS6tTMcLYUeHS/682VtvHeHBEbIuKGiFhe572FM39OJ1H5uafksKYkSapPqxcErANWZOYJlHvHrqnn5oh4V0Ssj4j127Zta0qB9YoIZnfMomNWMGtWHPwGSZKk/TQznD0GLN/velmlbUxmPpWZeyuXnwVeUeu9lfuvzszVmbm6r6+vYYUfqtmdQafBTJIkPQfNDGd3AMdFxLER0QWcD6zd/w0RsXi/yzXAA5WfbwZeGxGHR8ThwGsrbTPCnM4Oujpa3SkpSZJmoqZNisrM4Yh4L+VQ1QF8LjPvi4jLgfWZuRa4KCLWAMPAduDtlXu3R8QfUw54AJdn5vZm1dpoKxYdRra6CEmSNCNF5vMjRqxevTrXr1/f6jJgw/W85R8eh+G9XHfkNfCay+CE81pdlSRJKpCIuDMzV0/0mmNvjbThelh3EQxXptHtfLR8veH61tYlSZJmDMNZI33rchgaOLBtaKDcLkmSVAPDWSPt3FxfuyRJ0jiGs0ZasKy+dkmSpHEMZ430mstg9twD22bPLbdLkiTVwPOFGqm6KrOyWpMFy12tKUmS6mI4a7QTzoPbby///O5LJ33bTQ/fxFU/vIrH9zzO0fOO5uKTL+acledMU5GSJKmoDGctcNPDN/GR736EwZFBALbu2cpHvvsRAAOaJEltzjlnLXDVD68aC2ZVgyODXPXDq1pUkSRJKgrDWQs8vufxutolSVL7MJy1wNHzjq6rXZIktQ/DWQtcfPLFzOmYc0DbnI45XHzyxS2qSJIkFYULAlqgOunf1ZqSJGk8w1mLnLPyHMOYJEl6Foc1JUmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlADGeSJEkFYjiTJEkqEMOZJElSgRjOJEmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlADGeSJEkFYjiTJEkqEMOZJElSgRjOJEmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlADGeSJEkFYjiTJEkqEMOZJElSgRjOJEmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlADGeSJEkFYjiTJEkqEMOZJElSgRjOJEmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlADGeSJEkFYjiTJEkqEMOZJElSgRjOJEmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlADGeSJEkF0tRwFhFnR8TGiHgoIj44xfveHBEZEasr17Mj4pqIuDciHoiIDzWzTkmSpKJoWjiLiA7g08DrgJcAb42Il0zwvh7gYuD7+zX/JlDKzJcBrwDeHRErmlVrQ224HjbfAZv+Ba48vnwtSZJUo2b2nJ0CPJSZD2fmPuBa4I0TvO+PgSuAwf3aEpgXEZ3AXGAf0N/EWhtjw/Ww7iIY3lu+3vlo+dqAJkmSatTMcLYUeHS/682VtjERcTKwPDNvGnfvDcAeYCvwCPDxzNzexFob41uXw9DAgW1DA+V2SZKkGrRsQUBEzAI+Abx/gpdPAUaAJcCxwPsjYuUEn/GuiFgfEeu3bdvW1HprsnNzfe2SJEnjNDOcPQYs3+96WaWtqgc4HvjniNgEnAqsrSwK+C3g65k5lJlPAP8KrB7/G2Tm1Zm5OjNX9/X1NemPUYcFy+prlyRJGqeZ4ewO4LiIODYiuoDzgbXVFzNzZ2b2ZuaKzFwBfA9Yk5nrKQ9lvhogIuZRDm4/bmKtjfGay2D2XK4rfZTrSh8tt82eW26XJEmqQdPCWWYOA+8FbgYeAK7PzPsi4vKIWHOQ2z8NdEfEfZRD3t9k5oZm1dowJ5wH534KFiwHovzPcz9VbpckSapBZzM/PDO/Cnx1XNuE3UiZecZ+P++mvJ2GJElSW2lqOGs71a00qis2q1tpgL1nkiSpJh7f1EhupSFJkg6R4ayR3EpDkiQdIsNZI7mVhiRJOkSGs0aqbKVxALfSkCRJdTCcNZJbaUiSpEPkas1GO+E8w5gkSXrO7DmTJEkqEMOZJElSgRjOJEmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlADGeSJEkFYjiTJEkqEMOZJElSgRjOJEmSCsRwJkmSVCCGM0mSpAIxnEmSJBWI4UySJKlAIjNbXUNDRMQ24KcN/the4MkGf6YOnd9LcfndFJPfS3H53RTTdHwvL8jMvoleeN6Es2aIiPWZubrVdehAfi/F5XdTTH4vxeV3U0yt/l4c1pQkSSoQw5kkSVKBGM6mdnWrC9CE/F6Ky++mmPxeisvvppha+r0450ySJKlA7DmTJEkqEMPZBCLi7IjYGBEPRcQHW11PO4uI5RFxa0TcHxH3RcTFlfYjIuKWiHiw8s/DW11rO4qIjoi4KyK+Urk+NiK+X3l2rouIrlbX2I4iYmFE3BARP46IByLilT4zrRcR76v8d+xHEfHFiJjjM9MaEfG5iHgiIn60X9uEz0iUfaryHW2IiJObXZ/hbJyI6AA+DbwOeAnw1oh4SWuramvDwPsz8yXAqcB7Kt/HB4FvZeZxwLcq15p+FwMP7Hd9BXBlZr4Q+DnwX1tSla4Cvp6ZLwZOpPwd+cy0UEQsBS4CVmfm8UAHcD4+M63yt8DZ49ome0ZeBxxX+fUu4DPNLs5w9mynAA9l5sOZuQ+4Fnhji2tqW5m5NTN/WPl5F+X/kVlK+Tu5pvK2a4A3tabC9hURy4BzgM9WrgN4NXBD5S1+Ly0QEQuA04G/BsjMfZm5A5+ZIugE5kZEJ3AYsBWfmZbIzO8A28c1T/aMvBH4fJZ9D1gYEYubWZ/h7NmWAo/ud7250qYWi4gVwEnA94GjMnNr5aXHgaNaVFY7+yTw+8Bo5XoRsCMzhyvXPjutcSywDfibypDzZyNiHj4zLZWZjwEfBx6hHMp2AnfiM1Mkkz0j054LDGeaESKiG/hH4JLM7N//tSwvOXbZ8TSKiDcAT2Tmna2uRc/SCZwMfCYzTwL2MG4I02dm+lXmL72RcnheAszj2cNqKohWPyOGs2d7DFi+3/WySptaJCJmUw5m/zczb6w0/6zarVz55xOtqq9N/QqwJiI2UR76fzXleU4LK0M24LPTKpuBzZn5/cr1DZTDms9Ma/1H4N8zc1tmDgE3Un6OfGaKY7JnZNpzgeHs2e4AjqusoOmiPGFzbYtraluVeUx/DTyQmZ/Y76W1wIWVny8EvjzdtbWzzPxQZi7LzBWUn5FvZ+ZvA7cC/6nyNr+XFsjMx4FHI2JVpek1wP34zLTaI8CpEXFY5b9r1e/FZ6Y4JntG1gJvq6zaPBXYud/wZ1O4Ce0EIuL1lOfTdACfy8w/aXFJbSsiXgXcBtzLM3Ob/oDyvLPrgWOAnwLnZeb4yZ2aBhFxBvB7mfmGiFhJuSftCOAu4ILM3NvK+tpRRLyc8kKNLuBh4B2U/8+4z0wLRcQfAW+hvAr9LuCdlOcu+cxMs4j4InAG0Av8DPhD4EtM8IxUwvRfUB6Gfhp4R2aub2p9hjNJkqTicFhTkiSpQAxnkiRJBWI4kyRJKhDDmSRJUoEYziRJkgrEcCZJE4iIFRHxo1bXIan9GM4kSZIKxHAmSQcRESsrh4j/UqtrkfT813nwt0hS+6ocg3Qt8PbMvKfV9Uh6/jOcSdLk+iifr/cbmXl/q4uR1B4c1pSkye2kfGD1q1pdiKT2Yc+ZJE1uH/DrwM0RsTsz/77VBUl6/jOcSdIUMnNPRLwBuKUS0Na2uiZJz2+Rma2uQZIkSRXOOZMkSSoQw5kkSVKBGM4kSZIKxHAmSZJUIIYzSZKkAjGcSZIkFYjhTJIkqUAMZ5IkSQXy/wFqqSlPvSdbpAAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 720x576 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"cross_validation","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1611249103249,"user_tz":-60,"elapsed":2080,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}},"outputId":"4aa3adff-4b96-41f1-e390-3d2278d465a7"},"source":["# Based on the cross-validation results above, choose the best value for k,   \n","# retrain the classifier using all the training data, and test it on the test\n","# data. You should be able to get above 28% accuracy on the test data.\n","best_k = 10 # Modified value by me.\n","\n","classifier = KNearestNeighbor()\n","classifier.train(X_train, y_train)\n","y_test_pred = classifier.predict(X_test, k=best_k)\n","\n","# Compute and display the accuracy\n","num_correct = np.sum(y_test_pred == y_test)\n","accuracy = float(num_correct) / num_test\n","print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"],"execution_count":null,"outputs":[{"output_type":"stream","text":["Got 141 / 500 correct => accuracy: 0.282000\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"tags":["pdf-inline"],"id":"2WB0ZNGYGIVw"},"source":["**Inline Question 3**\n","\n","Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n","1. The decision boundary of the k-NN classifier is linear.\n","2. The training error of a 1-NN will always be lower than that of 5-NN.\n","3. The test error of a 1-NN will always be lower than that of a 5-NN.\n","4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n","5. None of the above.\n","\n","$\\color{blue}{\\textit Your Answer:}$ Statement that is true about kNN setting is: 4 (classification time is related to the training set).\n","\n","\n","$\\color{blue}{\\textit Your Explanation:}$\n","\n","- For the statement 1: Basing on its definition, the training procedure of a kNN classifier consists on saving the training set samples. So, it’s clear that we can’t talk about a “linear classifier”.\n","\n","- For the statement 2 and 3: The K value is an hyperparameter, hence, it depends on the problem nature (so, in this case, the dataset) itself. Raising the K value won’t guarantee getting a high accuracy and/or low error on the train/test set.\n","\n","- For the statement 4: In order to classify a test image, kNN have to compute the distances between this image and all the training images (and after that, making a vote based on top-K distance image labels). So, the time needed to compute all the distances depends on the of training set."]},{"cell_type":"markdown","metadata":{"id":"Ys-Ag9_oGIVw"},"source":["---\n","# IMPORTANT\n","\n","This is the end of this question. Please do the following:\n","\n","1. Click `File -> Save` to make sure the latest checkpoint of this notebook is saved to your Drive.\n","2. Execute the cell below to download the modified `.py` files back to your drive."]},{"cell_type":"code","metadata":{"id":"eYSUABI-GIVx","executionInfo":{"status":"ok","timestamp":1616929573800,"user_tz":-60,"elapsed":682,"user":{"displayName":"Soufian Benamara","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gj7-UwGIuLvBwNdi62Q2pMRjoHrgtEm3LZkyGEWZw=s64","userId":"08596286217915945464"}}},"source":["import os\n","\n","FOLDER_TO_SAVE = os.path.join('drive/My Drive/', FOLDERNAME)\n","FILES_TO_SAVE = ['cs231n/classifiers/k_nearest_neighbor.py']\n","\n","for files in FILES_TO_SAVE:\n","  with open(os.path.join(FOLDER_TO_SAVE, '/'.join(files.split('/')[1:])), 'w') as f:\n","    f.write(''.join(open(files).readlines()))"],"execution_count":14,"outputs":[]}]}